Verification of a New Spatial Distribution Function of Soil Water Storage Capacity Using Conceptual and SWAT ModelsSource: Journal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 003Author:Kang Xie
,
Pan Liu
,
Jianyun Zhang
,
Dominic A. Libera
,
Guoqing Wang
,
Zejun Li
,
Dingbao Wang
DOI: 10.1061/(ASCE)HE.1943-5584.0001887Publisher: ASCE
Abstract: The Soil Conservation Service Curve Number (SCS-CN) method is widely used in conceptual rainfall-runoff models for describing the runoff response with a curve, which is a function of the cumulative storm rainfall and antecedent wetness conditions. To improve the SCS-CN method, a new distribution function was recently proposed to unify the surface runoff modeling of the SCS-CN method and probability-distributed functions in the variable infiltration capacity (VIC) and Xin’anjiang models. This study aims to verify the new distribution function in a conceptual rainfall-runoff model and in the Soil and Water Assessment Tool (SWAT) by using real catchments. The Xunhe River basin in China and other basins in the United States were used as case studies. Results show that more observed variability in streamflow is captured when using the new spatial distribution function of soil water storage capacity in the conceptual runoff model. Specifically, there is a 9.8% average increase in the Nash-Sutcliffe efficiency (NSE), while simultaneously reducing the bias and mean relative absolute error (MRAE). When using the new distribution in SWAT, the model is able to better estimate the observed streamflow as indicated by higher NSE values for most of the basins. Akaike information criterion (AIC) is used for validating the goodness-of-fit when the number of parameters and model structure change. Further findings suggest that the estimated variance is more sensitive to the value of the new shape parameter a when soil water content is low in the early stage of rainfall. Therefore, the proposed new distribution function is shown to be effective in improving the accuracy of simulating streamflow for both conceptual and SWAT models.
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contributor author | Kang Xie | |
contributor author | Pan Liu | |
contributor author | Jianyun Zhang | |
contributor author | Dominic A. Libera | |
contributor author | Guoqing Wang | |
contributor author | Zejun Li | |
contributor author | Dingbao Wang | |
date accessioned | 2022-01-30T19:42:28Z | |
date available | 2022-01-30T19:42:28Z | |
date issued | 2020 | |
identifier other | %28ASCE%29HE.1943-5584.0001887.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4265831 | |
description abstract | The Soil Conservation Service Curve Number (SCS-CN) method is widely used in conceptual rainfall-runoff models for describing the runoff response with a curve, which is a function of the cumulative storm rainfall and antecedent wetness conditions. To improve the SCS-CN method, a new distribution function was recently proposed to unify the surface runoff modeling of the SCS-CN method and probability-distributed functions in the variable infiltration capacity (VIC) and Xin’anjiang models. This study aims to verify the new distribution function in a conceptual rainfall-runoff model and in the Soil and Water Assessment Tool (SWAT) by using real catchments. The Xunhe River basin in China and other basins in the United States were used as case studies. Results show that more observed variability in streamflow is captured when using the new spatial distribution function of soil water storage capacity in the conceptual runoff model. Specifically, there is a 9.8% average increase in the Nash-Sutcliffe efficiency (NSE), while simultaneously reducing the bias and mean relative absolute error (MRAE). When using the new distribution in SWAT, the model is able to better estimate the observed streamflow as indicated by higher NSE values for most of the basins. Akaike information criterion (AIC) is used for validating the goodness-of-fit when the number of parameters and model structure change. Further findings suggest that the estimated variance is more sensitive to the value of the new shape parameter a when soil water content is low in the early stage of rainfall. Therefore, the proposed new distribution function is shown to be effective in improving the accuracy of simulating streamflow for both conceptual and SWAT models. | |
publisher | ASCE | |
title | Verification of a New Spatial Distribution Function of Soil Water Storage Capacity Using Conceptual and SWAT Models | |
type | Journal Paper | |
journal volume | 25 | |
journal issue | 3 | |
journal title | Journal of Hydrologic Engineering | |
identifier doi | 10.1061/(ASCE)HE.1943-5584.0001887 | |
page | 04020001 | |
tree | Journal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 003 | |
contenttype | Fulltext |